ABSTRACT This paper theoretically and empirically investigates how the risk of future adverse price changes created by the anticipated arrival of information influences risk‐averse investors’ trading decisions in institutionally imperfect capital markets. Specifically, I examine how the selling activity of individual investors immediately following an earnings announcement is influenced by the tradeoff between risk‐sharing benefits of immediate trade and explicit transaction costs imposed on such trades. Consistent with my theoretically derived predictions, I find that investors’ current trading decisions are less sensitive to the incremental transaction costs created by short‐term capital gains taxes on trading profits, as both the duration and intensity of the risk of future adverse price changes increase. This evidence is consistent with an incremental cost to investors that results from the revelation of precise information, which is commonly referred to as the Hirshleifer Effect.

ABSTRACT We dissect the portion of stock price change of the fiscal year that is recognized in reported accounting earnings of the year. We call this portion earnings recognition timeliness (ERT). The emphasis in our dissection is on empirical identification of two fundamental precepts of financial accounting: (1) the matching principle, which is manifested in the recognition of expenses in the same period as the related benefits (i.e., sales revenue) accrue; and (2) recognition of expenses in the current period due to changes in expectations regarding earnings of future periods (we refer to these expenses as the expectations element of expenses). Although the expectations element has implicitly been at the core of much of the recent empirical literature on asymmetry in the earnings/return relation, it has not been explicitly identified. This recent literature is based on the premise that bad news about the future leads to more recognition of expenses in the current period (such as write‐downs) whereas good news about the future tends to have a much lesser effect on expenses of the current period; asymmetry in the expenses /return relation is captured implicitly via the observation of asymmetry in the earnings /return relation (i.e., asymmetry in ERT). Since the ERT reflects the relation between sales revenue and returns, matched expenses and returns, as well as the relation between the expectations element of expenses and returns, a focus on the expectations element may lead to sharper inferences. Our straightforward empirical procedure permits a focus on this element.

ABSTRACT This study develops and applies a model-implied measure of information imprecision. We define information imprecision as the degree of noise in investors' prior beliefs about the firm's asset value based on the information set that is currently available. We present a model of credit default swap (CDS) spreads in which the term structure is a function of information imprecision. We exploit observable CDS spreads with short and long maturities to extract an empirical measure of information imprecision. We then examine the moderating role of our measure in two settings. First, we show that the equity market response to credit rating changes increases in the level of information imprecision before the announcement. Second, we show that bond-market professionals' ability to charge a premium to smaller investors, relative to larger investors, increases in the issuing firm's information imprecision. This evidence illustrates the broad applicability of our model-implied measure of information imprecision. JEL Classifications: D82; G14; G24.